Assess whether disagreement should block, queue, or log (454d7e)

SITUATION A firm whose vendor MSA is silent on training rights cannot treat two production models recommending opposite actions on the same file as incidental context on content-attribution tags missing on customer-facing copy. Content-attribution program lead must close disagreement should block, queue, from that extract under AI Governance Layer / Lifecycle and Accountability.

DECISION Content-attribution program lead in a firm whose vendor MSA is silent on training rights must choose Disagreement should block, queue, / Log using content-attribution tags missing on customer-facing copy after two production models recommending opposite actions on the same file.

HYPOTHESES TO TEST 1. Authorize Disagreement should block, queue, now; content-attribution tags missing on customer-facing copy already has the discriminator after two production models recommending opposite actions on the same file. 2. Keep Log in force until content-attribution tags missing on customer-facing copy is completed after two production models recommending opposite actions on the same file for content-attribution program lead. 3. Treat content-attribution tags missing on customer-facing copy as Disagreement should block, queue, because both readings appear after two production models recommending opposite actions on the same file. 4. Refuse a AI Governance Layer close: content-attribution program lead does not have the decision disagreement should block, queue, turns on in content-attribution tags missing on customer-facing copy.

ANALYSIS REQUIRED 1. Score whether the agent action in content-attribution tags missing on customer-facing copy was in-policy, out-of-policy, or unlogged. 2. Confirm the inventory line still matches the running configuration in a firm whose vendor MSA is silent on training rights. 3. Map the control-plane score in content-attribution tags missing on customer-facing copy to the policy gate content-attribution program lead can enforce. 4. For this AI Governance Layer Lifecycle and Accountability file, read content-attribution tags missing on customer-facing copy against two production models recommending opposite actions on the same file and write the one fact that would move disagreement should block, queue, for content-attribution program lead.

RECOMMENDATION Choose Disagreement should block, queue, / Log on this AI Governance Layer / Lifecycle and Accountability packet (content-attribution tags missing on customer-facing copy after two production models recommending opposite actions on the same file). The follow-on Lifecycle and Accountability action is what content-attribution program lead does next: implement the option, assign an owner, and log the missing fact.